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COMPSAC
2002
IEEE
15 years 7 months ago
Expanding an Extended Finite State Machine to aid Testability
The problem of testing from an extended finite state machine (EFSM) is complicated by the presence of infeasible paths. This paper considers the problem of expanding an EFSM in o...
Robert M. Hierons, T.-H. Kim, Hasan Ural
125
Voted
TR
2010
159views Hardware» more  TR 2010»
14 years 9 months ago
Accelerated Degradation Tests Applied to Software Aging Experiments
Abstract--In the past ten years, the software aging phenomenon has been systematically researched, and recognized by both academic, and industry communities as an important obstacl...
Rivalino Matias, Pedro Alberto Barbetta, Kishor S....
PLDI
2003
ACM
15 years 7 months ago
Meta optimization: improving compiler heuristics with machine learning
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
Mark Stephenson, Saman P. Amarasinghe, Martin C. M...
JMLR
2010
115views more  JMLR 2010»
14 years 9 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 2 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski